Note: The job is a remote job and is open to candidates in USA. Mitek Systems is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions. They are seeking a Sr. AI Engineer with a strong foundation in machine learning and data engineering to design and build AI solutions that solve real business problems, focusing on quality, risk, and business impact throughout the development process.
Responsibilities
- Design, build, and deploy AI solutions powered by ML, LLMs, and agentic AI systems that solve real business problems
- Define evaluation strategies upfront for each use case, including task success metrics, offline and online evaluation plans, error analysis, and production monitoring requirements
- Build and improve LLM-based systems using prompt engineering, retrieval-augmented generation (RAG), context engineering, and multi-step agentic workflows
- Design and implement reliable data, retrieval, and orchestration layers that support production AI systems, including data quality, governance, observability, and monitoring
- Apply strong MLOps and LLMOps practices across AI systems, including experimentation, versioning, observability, alerting, model and prompt evaluation, and continuous improvement in production
- Partner closely with product, engineering, data, and business stakeholders to prioritize AI use cases and align on success metrics, operational requirements, and delivery timelines
- Monitor, troubleshoot, and improve production AI systems by balancing quality, latency, cost, reliability, and maintainability
Skills
- Bachelor's degree in Computer Science or a related field, and knowledge, skills, and abilities typically associated with 6+ years of relevant experience, including:
- 4+ years of experience in one or more of the following areas: Machine Learning or Applied Modeling, Data Engineering, Software Engineering for Data-Intensive Systems
- 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems as part of that experience
- Hands-on experience building LLM-powered applications, including: Context engineering, Retrieval-Augmented Generation (RAG), Evaluation frameworks, Prompt engineering and optimization, Model fine-tuning (preferred but not required)
- Experience designing and implementing agentic AI systems, including multi-step workflows that incorporate planning, memory, handoffs, tool orchestration, and human-in-the-loop review
- Strong track record of defining evaluation strategies upfront and operating AI systems in production, including deployment, monitoring, observability, versioning, experimentation, and continuous improvement
- Advanced Python skills and experience taking AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability
- Experience with vector databases, graph databases, retrieval quality tuning, and domain-specific optimization for LLM-based systems
- Experience designing reusable AI platforms, shared services, internal tooling, or infrastructure that improves AI development speed, consistency, and reuse
- Experience with cloud-native AI deployment, distributed systems, and scalable serving infrastructure for ML, LLM, and agentic AI applications
Benefits
- Wellness : Universal, supplemental, and private healthcare plan choices based on country specifics
- Retirement/pension plan contributions
- MTK stock plan participation
- Life event & disability coverage
- Generous annual leave
- Company holidays
- Volunteer time off
- E-learning license
- Tuition reimbursement
- Hackathons
- Home office setup allowance
- Pet insurance
- Identity theft protection
- Legal assistance
- Up to a 10% annual incentive bonus
- A comprehensive benefits package
Company Overview
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